Evidence map›Paper›PMID 35116965›Full record

ArticleTranslational cancer research2019

Impact of apatinib in combination with osimertinib on EGFR T790M-positive lung adenocarcinoma.

Yang Liu, Zhi-Cheng Xiong, Xin Sun, Li Sun, Shu-Ling Zhang, Jie-Tao Ma, Cheng-Bo Han

Erratum issuedOpen access · diamondAbstract read
In one paragraph

Article in Translational cancer research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.0field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 10 citations in OpenAlex.

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  9. Concomitant genetic alterations are associated with response toTranslational lung cancer research · 2020
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Yang LiuDepartment of Oncology, Shengjing Hospital of China Medical University, Shenyang 110022, China.
Zhi-Cheng XiongDepartment of Oncology, Shengjing Hospital of China Medical University, Shenyang 110022, China.
Xin SunDepartment of Oncology, Shengjing Hospital of China Medical University, Shenyang 110022, China.
Li SunDepartment of Oncology, Shengjing Hospital of China Medical University, Shenyang 110022, China.
Shu-Ling ZhangDepartment of Oncology, Shengjing Hospital of China Medical University, Shenyang 110022, China.
Jie-Tao MaDepartment of Oncology, Shengjing Hospital of China Medical University, Shenyang 110022, China.
Cheng-Bo HanDepartment of Oncology, Shengjing Hospital of China Medical University, Shenyang 110022, China.
China Medical University · CNLiaoning Cancer Hospital & Institute · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe purpose of this study was to investigate the anti-tumor activities and the mechanisms of the third-generation epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor (TKI) osimertinib, combined with the anti-angiogenic target drug apatinib, in the treatment of lung adenocarcinoma. We investigated the effects of these drugs

methodsPC9 and H1975 cells were cultured in 96-well plates and incubated with osimertinib (1-100 nmol/L), or apatinib (100-1,000 nmol/L), or a combination of the two agents, for 48 h. Cell viability was determined using a Cell Counting Kit-8. The protein expression of EGFR and its downstream signaling pathway members (AKT and ERK) was detected by western blot. For

results

conclusionsApatinib can enhance the anti-tumor activity of osimertinib in the treatment of T790M positive lung adenocarcinoma. Further clinical studies are needed to confirm these results.

Indexed as

apatinibepidermal growth factor receptor (EGFR)Non-small cell lung cancer (NSCLC)osimertinibtyrosine kinase inhibitor (TKI)

Identifiers

PMID35116965
PMCPMC8798075
OpenAlexW2976717106

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.